THE FACTOR THAT AFFECTS DIVERSITY OF

FLIES SPECIES ON RABBIT CARCASS IN UITM PERLIS

Prepared byAtik Zufar bin Haji Mohd Razaki

Supervised bySir Tun Mohd Firdaus bin Azis

CONTENTS

1. Introduction2. Literature Review3. Methodology4. Results5. Discussion6. Conclusion

1. INTRODUCTION To determine the relationship of rainfall,

temperature, humidity, wind speed and light intensity with the abundance of flies.

High abundance of cumulative rainfall, average weight of rabbit carcasses, ambient temperature and relative humidity will increase the diversity of flies.

2. LITERATURE REVIEW

Decay Stage

Post-decay StageRemains Stage

Bloated StageFresh Stage

Chrysomya rufifacies

Chrysomya megacephala

Sarcophaga haemorrhoidalis

Megaselia scalaris

Piophila casei

3. METHODOLOGY

5 m

Pitfall Trap

The position of two carcasses

Day/Date

 

Time of

Collection

Temperature

(˚C)

Humidity (%) Rainfall (ml) Rabbit Carcasses Remarks

Sample A Sample B  

1 - 3 8.00 a.m.            

12.00 p.m.         

 

6.00 p.m.         

 

4 - 7 8.00 a.m.            

12.00 p.m.         

 

8 - 16 12.00 p.m            

Table of Flies Species Collection with Reading of Temperature, Humidity and Rainfall.

y y

x x

y y

x x

Positive linear relationship

No relationshipCurvilinear relationship

Negative linear relationship

4. RESULTSDate

 Time Temp.

(°C)Humidity

(%)Wind

(km/h)Light Rainfall(

mm)Chrysomya

megacephalaChrysomyarufifacies

Sarcophagahaemorrhoidalis

Piophilacasei

Megaseliascalaris

Tot.

20/4/2015 1.40

pm

34.6 61.2 4.0 19500 None 0

0

0

0

0

0

0

0

0

0

0

0

21/4/2015 8.15

am

31.3 78.0 0.0 17850 None 0

0

0

1

0

1

1

0

0

0

1

2

  12.55

pm

35.0 65.5 5.9 16920 None 0

0

0

0

0

0

0

0

0

0

0

0

  6.10

pm

32.6 64.1 7.0 5820 Lessthan 0.5

0

1

0

8

0

3

0

0

0

0

0

12

22/4/2015 8.10

am

29.9 73.2 0.0 11220 None 0

0

1

7

4

4

0

1

0

0

5

12

  12.00

pm

32.9 70.1 6.1 16330 None 0

5

1

5

1

1

0

0

0

0

2

11

  5.55

pm

33.1 63.2 5.4 1741 Less

than 0.5

0

2

3

10

1

0

3

0

0

0

7

12

23/4/2015 8.20

am

28.7 86.0 0.0 15050 None 5

1

22

56

1

1

0

0

0

0

28

58

  12.30

pm

39.1 50.9 0.0 19500 None 0

1

32

9

3

5

0

0

0

0

35

15

  6.00

pm

30.4 72.7 0.0 5870 None 0

1

11

24

12

5

0

0

0

0

23

30

24/4/2015 8.00

am

27.6 80.6 16 8650 None 0

1

14

34

1

7

0

0

0

0

15

42

  12.00

pm

32.8 74.8 10.2 11080 None 0

3

3

8

3

2

0

0

0

0

6

13

  6.00

pm

31.0 62.7 11.0 7740 None 0

0

6

7

3

7

1

0

0

0

10

14

25/4/2015 8.00

am

28.8 78.6 0.0 9480 None 0

0

0

6

0

2

0

1

0

0

0

9

  6.15

pm

32.5 61.3 13.1 17770 None 0

0

0

4

2

6

1

1

0

0

3

11

26/4/2015 8.00am

28.9 76.8 0.0 7060 None 00

00

01

00

00

01

  12.00pm

35.0 58.6 12.0 19100 None 00

00

00

00

00

00

27/4/2015 12.20

pm

30.7 64.3 2.0 19100 None 0

0

0

0

0

0

0

0

0

0

0

0

28/4/2015 8.00

am

28.1 77.9 2.0 10510 None 0

0

0

0

0

1

0

0

0

1

0

2

29/4/2015 8.40

am

30.2 75.6 3.0 18220 None 0

0

0

0

0

0

0

0

0

0

0

0

30/4/2015 8.00

am

29.9 77.0 5.1 10710 None 0

0

0

0

0

0

0

0

0

0

0

0

Table of relationship between temperature, humidity, wind speed, light intensity and rainfall volume with diversity species of flies.

Legend: Sample A Sample B

20/4/2015 21/4/2015 22/4/2015 23/4/2015 24/4/2015 25/4/2015 26/4/2015 27/4/2015 28/4/2015 29/4/2015 30/4/2015

Chrysomyamegacephala

Chrysomya rufifacies

Sarcophaga haemorrhoidalis

Piophilacasei

Flies succession for Sample A.

20/4/2015 21/4/2015 22/4/2015 23/4/2015 24/4/2015 25/4/2015 26/4/2015 27/4/2015 28/4/2015 29/4/2015 30/4/2015

Megaseliascalaris

Piophilacasei

Piophilacasei

Sarcophaga haemorrhoidalis

Sarcophaga haemorrhoidalis

Chrysomya rufifacies

Chrysomya megacephala

Flies succession for Sample B.

Independent Variables

Dependent Variables

Temperature Humidity Wind Speed Light Intensity Rainfall Volume

Chrysomya megacephala 0.004 0.139 0.012 0.030 0.075

Chrysomya rufifacies 0.101 0.218 0.040 0.104 0.035

Sarcophaga haemorrhoidalis 0.026 0.084 0.109 0.279 0.106

Piophila casei 0.017 0.131 0.082 0.225 0.312

Megaselia scalaris 0.198 0.140 0.092 0.067 0.051

Table of correlation coefficient, r for each independent variable against each dependent variable.

Dependent Variables

Independent Variables

Chrysomya

megacephala

Chrysomya

rufifacies

Sarcophaga

haemorrhoidalis

Piophila

casei

Megaselia

scalaris

Temperature,

Humidity, Wind

Speed, Light Intensity

and Rainfall Volume

 

 

0.403

 

 

0.301

 

 

0.558

 

 

0.353

 

 

0.226

Table for multiple correlation coefficient, R for all independent variables against each dependent variable.

Graph of the relationship between Chrysomya rufifacies and humidity.

Graph of the relationship between Sarcophaga haemorrhoidalis and humidity.

5. DISCUSSIONGeneral equation for multiple correlation coefficient.y = a + b1x1 + b2x2 + b3x3 + b4x4 + b5x5

1. Chrysomya megacephala y = -15.831 + 0.268x1 + 0.108x2 + 0.023x3 + [4.866 x 10^(-6)]x4 + 1.433x5 = 2.376

2. Chrysomya rufifacies y = -93.223 + 1.794x1 + 0.686x2 + 0.084x3 + 0.000x4 + (-6.196)x5 = 8.885

3. Sarcophaga haemorrhoidalis y = 12.328 + 0.074x1 + (-0.111)x2 + 0.018x3 + 0.000x4 + (-10.944)x5 = -4.567

4. Piophila casei y = 3.025 + (-0.046)x1 + (-0.018)x2 + 0.002x3 + [8.189 x 10^(-6)]x4 +0.882x5 = 1.196

5. Megaselia scalaris y = 0.812 + (-0.018)x1 + (-0.003)x2 + (-0.003)x3 + [3.363 x 10^(-7)]x4 + (-0.027)x5 = -0.021

6. CONCLUSION This shows that each independent

variable which are temperature, humidity, wind speed, light intensity and rainfall volume have the weak relationship and is not fully related with each fly species which are Chrysomya megacephala, Chrysomya rufifacies, Sarcophaga haemorrhoidalis, Piophila casei and Megaselia scalaris respectively.

TheEnd…

Any Questions???